Automatic code parallelization for data-intensive computing in multicore systems

A major driving force behind the increasing popularity of data science is the increasing need for data-driven analytics fuelled by massive amounts of complex data. Increasingly, parallel processing has become a cost-effective method for computationally large and data-intensive problems. Many existin...

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Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 1411; no. 1; pp. 12014 - 12022
Main Authors:	Subramanian, Ranjini, Zhang, Hui
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.11.2019
Subjects:	Microprocessors Parallel processing Parallel programming Physics
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
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